Data Engineer

Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Data Engineer: Drive our AI Revolution & Data Ecosystem Location: Madrid (Hybrid: 4 days office / 1 day WFH) Stack: Python, SQL, Airflow, dbt, DuckDB, GCP, DLT, Docker. Why Ebury? At Ebury, we don’t just move money; we move the boundaries of what Fintech can achieve. Our strategic growth is powered by Data, and we are looking for a Data Engineer who wants to be at the heart of this transformation. We aren't looking for "Jira ticket closers." We want problem solvers , tech enthusiasts, and proactive engineers who want to understand the why and for what behind the data and propose high-value projects that move the needle for the business. The Challenge: Beyond Pipelines to AI-Ready Systems We are at an inflection point. Beyond maintaining a robust platform, we have a massive appetite for Machine Learning, LLMs, and Agents . Your mission won't just be moving bytes; it will be building the infrastructure that enables Ebury to lead the Gen-AI revolution in the financial sector. Your Cutting-Edge Toolkit: Orchestration: Airflow (Cloud Composer) is our backbone. Cloud Power: The full GCP suite (GKE, Cloud Run, Functions, Artifact Registry). Smart Ingestion: We leverage DLT (Data Load Tool) to build seamless and scalable data pipelines. Modeling & Quality: We use dbt at scale, integrating DuckDB to enforce bulletproof Data Contracts . DevOps Culture: Dockerized environments and solid CI/CD are our standard in Github Actions. What You'll Do Architect & Innovate: Design, deploy, and evolve ELT/ETL pipelines from diverse sources (APIs, transactional DBs, file-based endpoints). Champion AI/ML: Actively contribute to building the infrastructure for ML models and LLM-powered Agents . Business Partnership: Work closely with stakeholders to identify high-impact opportunities. If you see a better way to do things, you have the autonomy to lead it. Engineering Excellence: Apply top-tier software practices (SDLC, RFCs, unit testing) to ensure our platform is a benchmark for scalability. Growth & Mentorship: Benefit from a personalized 30/60/90 day plan designed to help you thrive from day one. About You You’ll be a great fit if: Python & SQL Mastery: You have a deep command of both (+5 years of experience). Agile Problem Solver: You thrive on unexpected daily challenges, delivering smart technical solutions at speed and iterating them into robust, production-grade systems. 🚀 Business Partner: You are proactive and "business-curious", you want to understand the impact of your code on the bottom line. You are fluent in English (we are a global team!). Bonus Points: Hands-on experience with LLMs, Vector Databases, or AI Agents . Deep knowledge of DuckDB or DLT . Strong foundations in Dimensional Modeling and Data Warehousing. Spanish language skills (a plus for office life in Madrid!). What We Offer Competitive Salary + Performance-based discretionary bonus. Vibrant Culture: Join a collaborative environment where Data Engineers, Data Scientists, Analytics Engineers, and Analysts work as one. Work-Life Balance: A modern hybrid model in our Madrid office to keep the team spirit alive while respecting your focus time. Open Source DNA: We follow Open Source principles internally and encourage you to contribute to external projects. Continuous Learning: Personal development through certifications and specialized training. Excited about the role but don't tick every single box? Apply anyway! At Ebury, we value potential, proactivity, and a growth mindset over a perfect checklist. #LI-JC1...